Gender: Male 
Age: 45-54
Nationality: United States
Ethnicity: White / Caucasian 
Marital status: Single 
First language: English 
Religion: Christian 
Education: Graduate degree
Mother's education: Graduate degree
Father's education: Graduate degree
Self-assessed socioeconomic status (1-10): 7
Home: Own 
Employment: Employed full time
Occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Mother's occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Father's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Hobbies: Exercise;Use social media;Watch sports;Listen to hiphop and rap;Listen to classical music 
Devices used daily: Laptop;Smartphone 
NLP tools known: Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Grammar checker (i.e., correcting grammar mistakes);Spell checker (i.e., correcting misspellings);Text-to-Speech (i.e, computers being able to read out loud written language);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa) 
NLP tools used: Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Text-to-Speech (i.e, computers being able to read out loud written language);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text) 
NLP tools they would find useful: E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Every day
LLMs used: ChatGPT;GitHub Copilot;Google Gemini;Perplexity 
LLM use cases: Translation;Brainstorming;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Digital content creation (e.g., creation of social media content);Generic chatbot conversation;Solving math or logical problems;Analyze data;Generate art;Learning (e.g., explaining complex concepts in simple terms);Answering questions about general knowledge;Summarizing long texts;Completing assignments 
Contexts of LLM use: Work;School/University;Learning;Creative or artistic 
Prompt 1: What are acceptable consequences for a player who refuses to play for their current team for basketball
Prompt 2: Please describe how your immersive experience affects your life.
Prompt 3: Please describe what can be improved in order to enhance your immersive experience.
Prompt 4: Do you think harassment in the immersive environment will actually cause harm or discomfort to the victim? Please describe your reason for having this thought.
Prompt 5: phishing or spoofing attacks
Prompt 6: What are your biggest pain points when it comes to storing Insulin?
Prompt 7: How is your revenue distributed across different sources for a data analysis company
Prompt 8: What is your best guess about what the unemployment rate will be in 2025 on average?
Prompt 9: Please write about how you would perform the  advisory functions between two share holder companies 
Prompt 10: To what extent as a board member will you perform monitoring functions .Please write about how you would perform the above monitoring functions.
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